Vinsight MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Vinsight as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Vinsight. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Vinsight?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Vinsight MCP Server
Connect your Vinsight operation to any AI agent and manage your entire beverage production business through natural conversation.
LlamaIndex agents combine Vinsight tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Stock Items — Search your product catalog: wines, beers, spirits, and raw materials with pricing and compliance codes
- Sales Orders — Track orders: customer, items, totals, status, and shipping across all channels
- Production Orders — Monitor production runs: input materials, output products, vessel assignments
- Batches — Track individual lots through the production lifecycle with batch codes and vintage
- Vessels — Monitor tanks, fermenters, barrels, and bright tanks with capacity and fill levels
- Lab Results — View QC analyses: pH, TA, alcohol, SO₂, dissolved oxygen, and residual sugar
- Inventory — Real-time stock levels across all warehouses: available, committed, and on-order
- Contacts — Manage customers, suppliers, and distributors
- Purchase Orders — Track incoming materials: grapes, bottles, corks, chemicals
The Vinsight MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Vinsight to LlamaIndex via MCP
Follow these steps to integrate the Vinsight MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 12 tools from Vinsight
Why Use LlamaIndex with the Vinsight MCP Server
LlamaIndex provides unique advantages when paired with Vinsight through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Vinsight tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Vinsight tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Vinsight, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Vinsight tools were called, what data was returned, and how it influenced the final answer
Vinsight + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Vinsight MCP Server delivers measurable value.
Hybrid search: combine Vinsight real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Vinsight to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Vinsight for fresh data
Analytical workflows: chain Vinsight queries with LlamaIndex's data connectors to build multi-source analytical reports
Vinsight MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Vinsight to LlamaIndex via MCP:
get_sales_order
Get order details
get_stock_item
The definitive product record. Get product details
list_batches
Track individual lots through the production lifecycle. List production batches
list_lab_results
Sorted by date. For quality control and compliance monitoring. List lab analysis results
list_production_orders
Tracks the winemaking or brewing process. List production orders
list_purchase_orders
Supply chain tracking for production inputs. List purchase orders
list_sales_orders
Core revenue tracking for wineries and breweries. List sales orders
list_stock_levels
Critical for fulfillment and reorder decisions. List current inventory
list_vessels
With capacity, current contents, fill level, and location. For cellar space planning. List tanks and barrels
list_warehouses
For multi-site inventory management. List warehouses
search_contacts
Returns contact profile, type, addresses, payment terms, and order history. Search contacts
search_stock_items
Returns product details including SKU, description, unit of measure, price, tax code, and current stock level. Works for wine, beer, spirits, and raw materials. Search wine/beer/spirit products
Example Prompts for Vinsight in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Vinsight immediately.
"What's our current Chardonnay 2024 inventory?"
"Create a new production order to blend 500L of 'Batch 44' into Tank 12."
"Check the latest lab results for the Pinot Noir fermentations in Tank B."
Troubleshooting Vinsight MCP Server with LlamaIndex
Common issues when connecting Vinsight to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpVinsight + LlamaIndex FAQ
Common questions about integrating Vinsight MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Vinsight with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Vinsight to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.